I a have a small onnx model (generated from pytorch) that only contains convolutions with gaussian kernels, as well as upsampling / downsampling operations. Therefore, it's a small model that's only about 75KB on disk in its onnx form.
If I convert it to tf-lite for a ~1000x1500 image input size, it remains fairly small. However, when converting it to tf-lite for a ~3000x4000 image input size, the exported model size jumps to 150 MB !
Why is that ? Can I do something to address it ? Thanks !
